{"id":"W288405260","doi":"","title":"NEWS & VIEWS 肺がん : 肺がんのCTスクリーニング : 答えはあるか?","year":2014,"lang":"ja","type":"article","venue":"Cancer and Clinical Oncology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009613147,0.000353978,0.001213414,0.00007374559,0.0001368228,0.0000202999,0.0003448776,0.001461458,0.0009517749],"category_scores_gemma":[0.0003206328,0.0003225213,0.000251354,0.000168021,0.0007927524,0.000110533,0.0001273126,0.001365608,0.000231971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118209,"about_ca_system_score_gemma":0.0002006501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002635155,"about_ca_topic_score_gemma":0.003258403,"domain_scores_codex":[0.9972132,0.0003322689,0.001150064,0.0006235646,0.0000953437,0.000585586],"domain_scores_gemma":[0.9978842,0.001105816,0.0001464543,0.0005066496,0.00005505259,0.000301882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001525744,0.0001867438,0.01200412,0.0001607825,0.000308189,0.00002860684,0.0003397907,0.000115465,0.00004164767,0.02940911,0.02489874,0.9323542],"study_design_scores_gemma":[0.002234544,0.002062482,0.02675775,0.00009146857,0.0003166924,0.0000179553,0.000533861,0.004684035,0.00001437893,0.01556355,0.9472434,0.0004798863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4139324,0.07431076,0.001598891,0.01853026,0.01135766,0.0006642859,0.00006060646,0.0006542354,0.4788909],"genre_scores_gemma":[0.9315552,0.06121365,0.0006471351,0.002613432,0.001710723,0.00006627194,0.000008430123,0.0000419329,0.002143256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9318743,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06750572553605616,"score_gpt":0.3925370663644407,"score_spread":0.3250313408283846,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}